dagstermill

library0.29.2pypypiunverified

dagstermill integrates Jupyter notebooks into Dagster pipelines, allowing notebooks to be executed as solid computations with input/output dependencies. Current version 0.29.2, requires Python 3.10-3.14. Release cadence matches dagster core (monthly).

workflow data

pip install dagstermill

package ↗

INSTALL

IMPORT

SIG · DAGSTERMILL

dagstermill

workflowpythonv0.29.2

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

define_dagstermill_solid

✓ from dagstermill import define_dagstermill_solid

✗ from dagstermill.core import define_dagstermill_solid

Old import path deprecated in 0.14.x

✓ from dagstermill import op

✗ from dagstermill import solid

'solid' is deprecated in favor of 'op' since dagster 1.0

Define a Dagster op that runs a Jupyter notebook. Note: define_dagstermill_op replaces the deprecated define_dagstermill_solid.

from dagster import job, op from dagstermill import define_dagstermill_op my_notebook_op = define_dagstermill_op( name='my_notebook_op', notebook_path='notebooks/my_notebook.ipynb', output_notebook_name='output.ipynb' ) @job def my_job(): my_notebook_op() if __name__ == '__main__': result = my_job.execute_in_process() print(result.success)

Debug

Known issues

breakingIn dagster 1.0+, solids are renamed to ops. Use define_dagstermill_op instead of define_dagstermill_solid.

fix

Replace define_dagstermill_solid with define_dagstermill_op and use @op/@job decorators.

affects: >=0.14.0

gotchaNotebook must have a 'parameters' cell (tagged) to accept inputs. Without it, inputs are silently ignored.

fix

In Jupyter, add a cell with default values and tag it as 'parameters' (use Cell Toolbar > Tags).

affects: all

deprecatedManaged notebook execution (Engine/Resource) deprecated in favor of simple context.

fix

Remove execution_engine arguments; use default execution.

affects: >=0.16.0

gotchaOutput notebooks are stored in the run's output directory, not necessarily local. Use io_manager to persist.

fix

Configure a filesystem or S3 io_manager to capture output notebooks.

affects: all

deprecatedThe 'output_notebook' materialization is deprecated; use Dagster's dynamic output instead.

fix

Use the 'output_notebook_name' parameter in define_dagstermill_op and handle via op outputs.

affects: >=0.17.0

Upgrade

Version history

0.29.2latest on PyPI · released Apr 23, 2026

Audit

Dependencies

dagsterrequiredCore Dagster library required

papermillrequiredUsed to execute notebooks

nbconvertrequiredNotebook conversion

ipykernelrequiredRequired for notebook execution

Agent activity

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Resources

packagehttps://pypi.org/project/dagstermill/ ↗